Consider using the torch.compile optimizer instead. from torch.distributed.optim import OrderedDict([('sys.platform', 'linux'), ('Python', '3.8.20 (default, Oct 3 2024, 15:24:27) [GCC 11.2.0]'), ('CUDA availabl
针对你的问题from torch.optim.lr_scheduler import _lrscheduler报错,我提供以下几点分析和建议: 确认torch库是否正确安装: 确保你已经安装了torch库。你可以通过运行以下代码来检查torch是否已安装及其版本: python import torch print(torch.__version__) 如果未安装,可以通过pip安装: bash pip install torch ...
34 from torch.nn.modules.module import _IncompatibleKeys 35 from torch.optim import Optimizer File~/anaconda3/lib/python3.11/site-packages/torch/_dynamo/init.py:2 1 import torch ---> 2 from . import convert_frame, eval_frame, resume_execution 3...
1.错误原因:可能是torch与transformers版本冲突; 2.解决办法:更换一个版本的transformers即可
你的代码存在一个小错误,with torch.no_grad:应该修改为with torch.no_grad():,在使用上下文管理器时需要加上括号。 这是修改后的代码: importnumpyasnp importpandasaspd importtorch fromtorchimportnn,optim importmatplotlib.pyplotasplt #解决中文乱码方法 ...
import torch.nn as nn from transformers import AutoModelForCausalLM, AutoTokenizer from torch.optim import AdamW from torch.utils.data import DataLoader # 1. 加载预训练模型和 tokenizer (例如, LLaMA-7B) model = AutoModelForCausalLM.from_pretrained("your_pretrained_model_path") ...
利用torch.optim 模塊可以定義衰減率: from torch.optim import lr_scheduler lf = one_cycle(1, hyp['lrf'], epochs) # cosine 1->hyp['lrf'] scheduler = lr_scheduler.LambdaLR(optimizer, lr_lambda=lf) # plot_lr_scheduler(optimizer, scheduler, epochs) 模型權重的更新:指數平滑平均 假設有n個數據...
import torch from nemo import lightning as nl from nemo.collections import llm from nemo.collections.nlp.modules.common.tokenizer_utils import get_nmt_tokenizer from megatron.core.optimizer import OptimizerConfig ### set up your GPT model config gpt_config = llm.GPTConfig( num_layers=12, hidden...
To build the model from scratch, we need first to understand how model definitions work in torch and the different types of layers that we’ll be using here: Every custom model must inherit from the nn.Module class provides essential functionality to aid in model training. ...
from torch.distributed.optim import ZeroRedundancyOptimizer [2025-03-07 18:49:26,453] [WARNING] [axolotl.utils.config.models.input.hint_lora_8bit:1424] [PID:1523] [RANK:0] We recommend setting `load_in_8bit: true` for LORA finetuning [2025-03-07 18:49:26,531] [DEBUG] [axolotl....